Multi-device interaction gesture control ring

Abstract

The utility model discloses a multi-device interaction gesture control finger ring, and belongs to the technical field of man-machine interaction. Comprising a ring main body which comprises an outer ring and an inner ring which are matched with each other; an accommodating cavity is formed between the outer ring and the inner ring; the mounting plate is mounted in the accommodating cavity; the mounting plate is of an annular structure composed of an arc-shaped PCBA circuit board and a battery mounting plate which are connected, the diameter of the PCBA circuit board is larger than that of the battery mounting plate, the outer side of the PCBA circuit board abuts against the inner side of the outer ring, and the inner side of the battery mounting plate abuts against the outer side of the inner ring; the detection module comprises a control unit and a sensor which are in signal connection; the control unit and the sensor are both installed on the PCBA circuit board and located between the PCBA circuit board and the inner ring. The sensor comprises an acceleration sensor and a gyroscope; according to the finger ring, the motion sensor and the wireless communication technology are combined, so that seamless and visual user experience is achieved.

Description

Technical Field

[0001] The utility model relates to the technical field of human-computer interaction, and in particular to a multi-device interactive gesture control finger ring. Background Art

[0002] As smart devices become more prevalent, users are increasingly demanding more intuitive and ergonomic input devices. Traditional input devices such as mouse and keyboard, while effective, limit natural and smooth movements when used in modern graphical user interfaces, virtual reality, and augmented reality systems. Gesture-based control systems offer a more natural and ergonomic way to input.

[0003] In the prior art, gesture recognition devices are mostly based on cameras, which have problems such as complex hardware, high cost, and limited use. The utility model aims to provide a convenient, low-cost interactive device based on gesture recognition. Utility Model Content

[0004] The utility model aims to provide a convenient and low-cost multi-device interactive gesture control ring.

[0005] In order to solve the above technical problems, the utility model provides a multi-device interactive gesture control ring, comprising:

[0006] The finger ring body comprises an outer ring and an inner ring which cooperate with each other; a receiving cavity is formed between the outer ring and the inner ring;

[0007] A mounting plate is mounted in the accommodating cavity; the mounting plate is a ring structure composed of a connected arc-shaped PCBA circuit board and a battery mounting plate, the diameter of the PCBA circuit board is larger than the diameter of the battery mounting plate, the outer side of the PCBA circuit board abuts against the inner side of the outer ring, and the inner side of the battery mounting plate abuts against the outer side of the inner ring;

[0008] The detection module includes a control unit and a sensor connected by signals; the control unit and the sensor are both mounted on the PCBA circuit board and located between the PCBA circuit board and the inner ring; the sensor includes an acceleration sensor and a gyroscope;

[0009] The power module is mounted on the battery mounting plate and is located between the battery mounting plate and the outer ring; the power module is connected to the PCBA circuit board.

[0010] Preferably, both upper and lower ends of the inner side of the outer ring are provided with outer ring clamps protruding outwards;

[0011] Inner ring grooves are provided at both upper and lower ends of the outer side of the inner ring;

[0012] The outer ring clamp of the outer ring is embedded in the inner ring groove of the inner ring and fixed to form an accommodating cavity.

[0013] Preferably, a charging port is provided on the inner ring;

[0014] The charging port is provided with charging contacts, which are connected to the PCBA circuit board.

[0015] Preferably, the head end of the PCBA circuit board is bent inward at a certain angle to form a first connecting portion, and is connected to the tail end of the battery mounting plate;

[0016] The head end of the battery mounting plate is bent outward at a certain angle to form a second connecting portion, and is connected to the tail end of the PCBA circuit board.

[0017] Preferably, the bending angle of the head end of the PCBA circuit board is 15° to 30°;

[0018] The bending angle of the head end of the battery mounting plate is 90°.

[0019] Preferably, the power module is a polymer battery, the tail end of which is connected with an elastic connecting piece;

[0020] The first end of the power module abuts against the second connecting portion;

[0021] The tail end of the power module is in contact with the first connecting portion via an elastic connecting piece.

[0022] Preferably, the detection module further includes a wireless communication module and a reminder signal module connected to the control unit.

[0023] Preferably, the reminder signal module is an LED light.

[0024] Preferably, the outer ring is a metal ring;

[0025] The inner ring is a transparent resin ring.

[0026] Preferably, the battery mounting board is a soft board.

[0027] Compared with the prior art, the beneficial effects of the utility model are:

[0028] The utility model comprises a finger ring body composed of an outer ring and an inner ring which cooperate with each other, and an outer ring clamp of the outer ring is embedded in an inner ring groove of the inner ring and fixed, thereby forming a containing cavity for containing the detection module and the polymer battery.

[0029] The utility model uses a ring-shaped mounting plate composed of PCBA circuit boards and battery mounting plates of different diameters to tightly mount the detection module and the polymer battery on the PCBA circuit board and the battery mounting plate of the finger ring body, thereby fastening the internal components and preventing them from loosening easily due to the movement of the user's fingers.

[0030] The rear end of the power module of the utility model is connected to the PCBA circuit board through an elastic connecting piece to supply power, and the battery is fixed in the accommodating cavity to prevent shaking.

[0031] The utility model detects the movement of the finger by an acceleration sensor and a gyroscope as the gesture action of the user to realize the control of the external device. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The specific implementation of the utility model is further described in detail below with reference to the accompanying drawings.

[0033] Figure 1 This is a schematic diagram of the overall structure of a multi-device interactive gesture control ring of the utility model;

[0034] Figure 2 It is a schematic diagram of a wireless information transmission system;

[0035] Figure 3 This is a schematic diagram of gesture instructions;

[0036] Figure 4 This is a three-dimensional structural diagram of the ring;

[0037] Figure 5 An exploded view of the ring.

[0038] In the figure: 1-outer ring; 11-outer ring clamp; 2-inner ring; 21-inner ring groove; 22-charging port; 3-PCBA circuit board; 31-first connecting part; 4-battery mounting plate; 41-second connecting part; 5-control unit; 6-sensor; 7-power module; 71-elastic connecting piece; 8-charging contact; 9-wireless communication module; 10-reminder signal module. DETAILED DESCRIPTION

[0039] Many specific details are described in the following description to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific implementation disclosed below.

[0040] The terms used in one or more embodiments of this specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of this specification. The singular forms of "a", "said" and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0041] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of this specification, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0042] The utility model is further described in detail below in conjunction with the accompanying drawings:

[0043] The utility model provides a multi-device interactive gesture control ring. Figure 4-5 As shown, including:

[0044] The finger ring body comprises an outer ring 1 and an inner ring 2 which cooperate with each other; a receiving cavity is formed between the outer ring 1 and the inner ring 2;

[0045] A mounting plate, which is mounted in the accommodating cavity; the mounting plate is a ring structure composed of a connected arc-shaped PCBA circuit board 3 and a battery mounting plate 4, the diameter of the PCBA circuit board 3 is larger than the diameter of the battery mounting plate 4, the outer side of the PCBA circuit board 3 abuts against the inner side of the outer ring 1, and the inner side of the battery mounting plate 4 abuts against the outer side of the inner ring 2;

[0046] A detection module, comprising a control unit 5 and a sensor 6 connected by signals; the control unit 5 and the sensor 6 are both mounted on the PCBA circuit board 3 and located between the PCBA circuit board 3 and the inner ring 2; the sensor 6 comprises an acceleration sensor and a gyroscope;

[0047] The power module 7 is mounted on the battery mounting plate 4 and is located between the battery mounting plate 4 and the outer ring 1 ; the power module 7 is connected to the PCBA circuit board 3 .

[0048] Preferably, the upper and lower ends of the inner side of the outer ring 1 are both provided with outer ring clamps 11 protruding outwards.

[0049] The inner ring 2 has inner ring grooves 21 at both upper and lower ends of its outer side;

[0050] The outer ring clamp 11 of the outer ring 1 is embedded in the inner ring groove 21 of the inner ring 2 and fixed to form an accommodating cavity.

[0051] Preferably, a charging port 22 is provided on the inner ring 2;

[0052] The charging port 22 is provided with a charging contact 8 , which is connected to the PCBA circuit board 3 .

[0053] Preferably, the head end of the PCBA circuit board 3 is bent inward at a certain angle to form a first connecting portion 31, and is connected to the tail end of the battery mounting plate 4;

[0054] The head end of the battery mounting plate 4 is bent outward at a certain angle to form a second connecting portion 41 , and is connected to the tail end of the PCBA circuit board 3 .

[0055] Preferably, the bending angle of the head end of the PCBA circuit board 3 is 15° to 30°;

[0056] The bending angle of the head end of the battery mounting plate 4 is 90°.

[0057] Preferably, the power module 7 is a polymer battery, and an elastic connecting piece 71 is connected to the tail end thereof;

[0058] The first end of the power module 7 abuts against the second connecting portion 41;

[0059] The tail end of the power module 7 serves as an output end, and is in contact with the first connection portion 31 via an elastic connection piece 71 .

[0060] Preferably, the detection module further includes a wireless communication module 9 and a reminder signal module 10 connected to the control unit 5 .

[0061] Preferably, the reminder signal module 10 is an LED light.

[0062] Preferably, the outer ring 1 is a metal ring;

[0063] The inner ring 2 is a transparent resin ring.

[0064] Preferably, the battery mounting board 4 is a soft board.

[0065] Preferably, the detection module further includes an LDO module 51 and a charging management module 52;

[0066] The power module 7 is connected to the sensor 6 via the LDO module 51;

[0067] The power module 7 is connected to the control unit 5 via the charging management module 52 .

[0068] The utility model also provides a multi-device interactive gesture control method, comprising the following steps:

[0069] Collect finger movement data;

[0070] Preprocessing the finger motion data to obtain preprocessed finger motion data;

[0071] The pre-processed finger motion data is input into the deep learning model for recognition to obtain the gesture category;

[0072] Control external devices based on gesture categories.

[0073] Preferably, collecting finger motion data specifically includes the following steps:

[0074] Wearing a ring equipped with an acceleration sensor and a gyroscope on the user's finger;

[0075] The user makes interactive gestures, and the acceleration sensor and gyroscope collect acceleration data and angular velocity data as finger motion data.

[0076] Preferably, the acceleration data includes acceleration in three directions of X, Y and Z, total acceleration of the finger, speed of the finger and displacement of the finger;

[0077] The total acceleration of the finger is

[0078] The speed of the finger is

[0079] The displacement of the finger is

[0080] The angular velocity data includes the angular velocity in the three directions of X, Y, and Z, the total angular velocity of the finger, and the rotation angle of the finger;

[0081] The total angular velocity of the finger is

[0082] The rotation angle of the finger is

[0083] Preferably, preprocessing the finger motion data to obtain preprocessed finger motion data specifically includes the following steps:

[0084] Normalizing the finger motion data to obtain normalized finger motion data;

[0085] The normalized finger motion data is subjected to fast Fourier transform to extract frequency domain features, and the frequency domain features are obtained as the preprocessed finger motion data.

[0086] Preferably, the normalization formula is as follows:

[0087]

[0088] Where: x is the original finger motion data; x min and x max They are the minimum and maximum values ​​of the finger motion data respectively.

[0089] Preferably, the frequency domain features include mean, standard deviation, maximum value, minimum value and variance of acceleration and angular velocity.

[0090] Preferably, the deep learning model includes a convolutional neural network, a long short-term memory network and a fully connected layer;

[0091] The convolutional neural network includes 3 convolutional layers, each layer contains 64 3x3 convolution kernels, and the activation function is ReLU; a maximum pooling layer is used after each convolutional layer, and the pooling window size is 2x2;

[0092] The LSTM network includes two layers of LSTM networks for capturing the temporal dependency of gestures, each layer containing 50 units;

[0093] The fully connected layer is used to output the gesture category, and the final output layer uses a softmax activation function to output the probability distribution of the gesture category.

[0094] Preferably, the loss function of the deep learning model is a cross entropy loss function:

[0095]

[0096] Among them, y i is the true label, is the predicted probability.

[0097] The optimizer of the deep learning model is the Adam optimizer:

[0098]

[0099] Among them, θ is the model parameter and α is the learning rate.

[0100] The deep learning model has a learning rate of 0.001, a batch size of 32, and 50 training rounds.

[0101] Preferably, the external device includes a desktop computer, a tablet computer, a mobile phone or smart glasses.

[0102] A multi-device interactive gesture control ring, comprising:

[0103] The finger ring body is characterized by comprising an inner ring 2 and an outer ring 1, the inner ring 2 and the outer ring 1 are fixed together, and a PCBA circuit board 3 and a polymer battery are arranged between the inner ring 2 and the outer ring 1;

[0104] The sensor module is arranged on the main body of the ring and includes an acceleration sensor and a gyroscope for detecting the movement of the finger;

[0105] Wireless communication module 9, used to realize wireless communication with external devices such as desktop computers, tablet computers, smart glasses, mobile phones, etc.;

[0106] The power module 7 supports two modes: wireless charging or contact-type wired charging.

[0107] In order to better illustrate the technical effect of the present invention, the present invention provides the following specific embodiments to illustrate the above technical process:

[0108] Embodiment 1: A multi-device interactive gesture control ring, such as Figure 1 As shown, the finger ring body includes an inner ring 2 and an outer ring 1, and a PCBA circuit board 3 and a power module 7 are arranged between the inner ring 2 and the outer ring 1. The inner ring 2 and the outer ring 1 are fixed together by buckles or glue to form an integral structure.

[0109] The main functions and coordination of the modules are as follows:

[0110] 1. Sensor module:

[0111] Function: Detect finger motion data, including linear acceleration and angular velocity.

[0112] Cooperation: The sensor module is installed on the PCBA circuit board 3 of the finger ring, detects the movement data of the finger in real time, and transmits the data to the control unit 5 through the I2C or SPI interface.

[0113] 2. Control unit 5:

[0114] Function: Receive and process sensor data and execute gesture recognition algorithm.

[0115] Cooperation: The control unit 5 is located on the PCBA circuit board 3 of the finger ring, receives the data from the sensor module, performs preprocessing and feature extraction, and inputs the data into the deep learning model for gesture recognition. The recognition result is transmitted through the wireless communication module 9.

[0116] 3. Wireless communication module 9, such as Figure 2 As shown:

[0117] Function: Transmit the recognition results to external connected devices.

[0118] Cooperation: The wireless communication module 9 (such as a Bluetooth low energy module) is installed on the PCBA circuit board 3 and directly connected to the control unit 5. The recognition result is transmitted to the connected device (such as a computer, mobile phone, etc.) via the Bluetooth protocol.

[0119] 4. Power module 7:

[0120] Function: Provide stable power supply support.

[0121] Cooperation: The power module 7 includes a built-in rechargeable lithium polymer battery, which supports wireless charging or contact-type wired charging. The power module 7 provides power for the sensor 6, the control unit 5 and the wireless communication module 9.

[0122] 5. Application:

[0123] Function: Users can customize gestures and functions through applications to achieve personalized operations.

[0124] Cooperation: The application is connected to the ring device via Bluetooth, and the user can define and edit gesture operations in the application and set the functions corresponding to the gestures. The application sends the gesture instructions set by the user to the control unit 5 via Bluetooth.

[0125] The control unit 5 includes a pre-processing module, an acceleration processing module and an angular velocity processing module.

[0126] 1) Preprocessing module: used to normalize and extract features of sensor data to ensure the accuracy and consistency of data.

[0127] 1.1. Data normalization:

[0128] After the sensor data is collected, it needs to be normalized to convert the data into a standard range (such as 0 to 1 or -1 to 1). Normalization can eliminate the difference in the output data range of different sensors and reduce the impact of data noise on model training and reasoning.

[0129] Normalization formula:

[0130] Where: x is the original data, x min and x max are the minimum and maximum values ​​of the data respectively.

[0131] 1.2. Feature extraction:

[0132] Extract meaningful features from the raw sensor data, such as the acceleration change rate and angular velocity change rate of the gesture. These features can better describe the motion pattern of the gesture and improve the accuracy of gesture recognition.

[0133] The specific methods include: calculating the mean, standard deviation, maximum value, minimum value, variance and other statistical characteristics of acceleration and angular velocity; and using fast Fourier transform (FFT) to extract frequency domain features.

[0134] 2) Accelerometer: detects the linear acceleration of the finger and provides speed and direction data of gesture movement.

[0135] Detection method:

[0136] The accelerometer detects the movement of the finger by measuring the acceleration change of the finger in three-dimensional space. The sensor usually includes three mutually perpendicular axes (X-axis, Y-axis, and Z-axis) to measure the acceleration in each direction respectively.

[0137] The data acquisition frequency was set to 300 Hz to ensure that fast finger movements were captured.

[0138] Statistics:

[0139] The acceleration data of each sampling point consists of three components (Ax, Ay, Az), which represent the acceleration in the X, Y, and Z directions respectively.

[0140] Calculate the total acceleration of the finger:

[0141] Finger movement calculation:

[0142] By integrating the acceleration data, the velocity and displacement of the finger can be obtained:

[0143] speed:

[0144] Displacement:

[0145] Use Kalman filter or other filtering technology to correct the error in the integration process and improve the accuracy of the calculation.

[0146] 3) Gyroscope: detects the angular velocity of the finger and provides rotation angle data of gesture movement.

[0147] Detection method:

[0148] A gyroscope detects the rotational motion of a finger by measuring its angular velocity in three-dimensional space. The sensor usually includes three mutually perpendicular axes (X-axis, Y-axis, and Z-axis) to measure the angular velocity in each direction.

[0149] The data acquisition frequency was set to 300 Hz to ensure that the fast finger rotation movement was captured.

[0150] Statistics:

[0151] The angular velocity data of each sampling point consists of three components (Gx, Gy, Gz), which represent the angular velocity in the X, Y, and Z directions respectively.

[0152] Calculate the total angular velocity of the finger:

[0153] Finger movement calculation:

[0154] By integrating the angular velocity data, the rotation angle of the finger can be obtained:

[0155] angle:

[0156] Complementary filters or quaternion filters are used to correct errors in the integration process and improve the accuracy of calculations.

[0157] 4) Data acquisition module and deep learning module:

[0158] 4.1 Data Collection

[0159] plan:

[0160] 200 participants were selected, each of whom collected gesture data for 5 hours to ensure the diversity and representativeness of the data.

[0161] equipment:

[0162] Using a ring device equipped with a sensor module with a built-in accelerometer and gyroscope, the finger uses a capacitive touch detection sensor device to collect the acceleration and angular velocity data of the gesture.

[0163] The data acquisition frequency was set to 300 Hz to ensure that fast finger movements were captured.

[0164] The collected data is stored in the local device for model training. The data format is time series data, and the three-axis data of acceleration and angular velocity are recorded at each time point.

[0165] 4.2. Deep Learning Module:

[0166] Data preprocessing and algorithms

[0167] Data preprocessing:

[0168] Normalization:

[0169] Normalize the acceleration and angular velocity data using the standardized formula:

[0170]

[0171] Where (x) is the original data, (μ) is the mean, and (σ) is the standard deviation.

[0172] Feature extraction:

[0173] Extract statistical features and frequency domain features from raw sensor data. For example, calculate the mean, standard deviation, maximum, minimum, variance, etc. of acceleration and angular velocity.

[0174] Fast Fourier Transform (FFT) is used to extract frequency domain features and analyze the frequency components of gesture motion.

[0175] The deep learning modules include:

[0176] Convolutional Neural Network (CNN):

[0177] A multi-layer convolutional network is used to extract gesture features. For example, three convolutional layers are used, each layer contains 64 3x3 convolution kernels, and the activation function is ReLU.

[0178] A maximum pooling layer is used after each convolutional layer with a pooling window size of 2x2.

[0179] Long Short-Term Memory (LSTM)

[0180] A two-layer LSTM network is used to capture the temporal dependency of gestures, with each layer containing 50 units.

[0181] Fully connected layer:

[0182] A fully connected layer is used after the LSTM layer to output the gesture category. The final output layer uses a softmax activation function to output the probability distribution of the gesture category.

[0183] Training methods:

[0184] Loss function: Use the cross entropy loss function:

[0185]

[0186] Among them, y i is the true label, is the predicted probability.

[0187] Optimization algorithm: Use Adam optimizer for training:

[0188]

[0189] Among them, θ is the model parameter and α is the learning rate.

[0190] Training parameters:

[0191] Learning rate: 0.001; Batch size: 32; Number of training rounds: 50

[0192] Reasoning process:

[0193] Data input: Sensor data passes through the preprocessing module for normalization and feature extraction.

[0194] Model reasoning: The preprocessed data is input into the trained model for real-time reasoning to predict the gesture category.

[0195] Command generation: Convert recognition results into control commands (such as cursor movement, clicking, scrolling, etc.).

[0196] Operation Mode

[0197] Gesture recognition: Algorithms are used to convert finger and hand movements into operations such as cursor movement, clicking, and scrolling.

[0198] Customized gestures: Users can customize gestures and functions through applications to achieve personalized operations.

[0199] Examples:

[0200] Example 1: Multi-device interactive gesture control ring

[0201] Describe the overall design, main functions and basic operation steps of the ring. The ring detects gesture movements through the sensor module, and the control unit 5 processes the data, recognizes the gesture and sends control commands.

[0202] Example 2: Gesture Control in Virtual Reality

[0203] Describes the application in a virtual reality environment. Users wear the ring and control the virtual reality device through gestures, such as manipulating virtual objects and navigating menus.

[0204] Example 3: Application in smart home

[0205] Describe the application in smart home. Users can control smart devices in their home through gestures, such as light switches, temperature adjustment, audio control, etc., providing a convenient operation experience.

[0206] Example 4: Application in medical equipment

[0207] Describe the application in medical equipment. Medical staff control medical equipment through gestures, such as operation in a sterile environment, remote control, etc., to improve the efficiency and safety of medical operations.

[0208] Example 5: Application in industrial control

[0209] Describe the application in industrial environment. Workers control industrial equipment through gestures, such as robot arm operation and equipment debugging, to improve the convenience and safety of industrial production.

[0210] Examples of gestures are Figure 3 shown.

[0211] The above is only a specific implementation of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A multi-device interactive gesture control ring, characterized in that: include: The finger ring body comprises an outer ring (1) and an inner ring (2) which cooperate with each other; a receiving cavity is formed between the outer ring (1) and the inner ring (2); A mounting plate, which is mounted in the accommodating cavity; the mounting plate is an annular structure composed of a connected arc-shaped PCBA circuit board (3) and a battery mounting plate (4); the diameter of the PCBA circuit board (3) is larger than the diameter of the battery mounting plate (4); the outer side of the PCBA circuit board (3) abuts against the inner side of the outer ring (1), and the inner side of the battery mounting plate (4) abuts against the outer side of the inner ring (2); A detection module, comprising a control unit (5) and a sensor (6) connected in a signal manner; the control unit (5) and the sensor (6) are both mounted on a PCBA circuit board (3) and located between the PCBA circuit board (3) and the inner ring (2); the sensor (6) comprises an acceleration sensor and a gyroscope; A power module (7) is mounted on the battery mounting plate (4) and is located between the battery mounting plate (4) and the outer ring (1); the power module (7) is connected to the PCBA circuit board (3).

2. The multi-device interactive gesture control ring according to claim 1, characterized in that: Outer ring clamps (11) protruding outwards are provided at both upper and lower ends of the inner side of the outer ring (1); Inner ring grooves (21) are provided at both upper and lower ends of the outer side of the inner ring (2); The outer ring clamp (11) of the outer ring (1) is embedded in the inner ring groove (21) of the inner ring (2) and fixed to form an accommodating cavity.

3. The multi-device interactive gesture control ring according to claim 2, characterized in that: The inner ring (2) is provided with a charging port (22); The charging port (22) is provided with a charging contact (8), and the charging contact (8) is connected to the PCBA circuit board (3).

4. The multi-device interactive gesture control ring according to claim 3, characterized in that: The head end of the PCBA circuit board (3) is bent inward at a certain angle to form a first connecting portion (31), and is connected to the tail end of the battery mounting plate (4); The head end of the battery mounting plate (4) is bent outward at a certain angle to form a second connecting portion (41), and is connected to the tail end of the PCBA circuit board (3).

5. The multi-device interactive gesture control ring according to claim 4, characterized in that: The bending angle of the head end of the PCBA circuit board (3) is 15° to 30°; The bending angle of the head end of the battery mounting plate (4) is 90°.

6. The multi-device interactive gesture control ring according to claim 5, characterized in that: The power module (7) is a polymer battery, and a rear end thereof is connected to an elastic connecting piece (71); The head end of the power module (7) abuts against the second connecting portion (41); The rear end of the power module (7) is in contact with the first connection portion (31) via an elastic connection sheet (71).

7. The multi-device interactive gesture control ring according to claim 6, characterized in that: The detection module also includes a wireless communication module (9) and a reminder signal module (10) connected to the control unit (5).

8. The multi-device interactive gesture control ring according to claim 7, characterized in that: The reminder signal module (10) is an LED lamp.

9. The multi-device interactive gesture control ring according to claim 8, characterized in that: The outer ring (1) is a metal ring; The inner ring (2) is a transparent resin ring.

10. The multi-device interactive gesture control ring according to claim 9, characterized in that: The battery mounting plate (4) is a soft plate.

Images